Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Alexander D Weston"'
Autor:
Fabian Föttinger, Rohan Sharma, Saif D. Salman, Alexander D. Weston, Bradley J. Erickson, Thien Huynh, Rabih G. Tawk, William D. Freeman
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 20 (2024)
Background We developed a simplified ABC/2‐derived method to estimate total subarachnoid hemorrhage volume (SAHV) on noncontrast computed tomography in patients with aneurysmal SAH and compared the clinical and radiographic outcomes. Methods and Re
Externí odkaz:
https://doaj.org/article/0845b2034c0e44b2ab57ba62df470476
Autor:
Matthew R. Hall, MD, Alexander D. Weston, PhD, Mikolaj A. Wieczorek, BA, Misty M. Hobbs, MD, Maria A. Caruso, BA, Habeeba Siddiqui, BA, Laura M. Pacheco-Spann, MS, Johanny L. Lopez-Dominguez, MD, Coralle Escoda-Diaz, BA, Rickey E. Carter, PhD, Charles J. Bruce, MB, ChB
Publikováno v:
Mayo Clinic Proceedings: Digital Health, Vol 2, Iss 1, Pp 131-138 (2024)
Objective: To develop a deep learning algorithm for the analysis of patch testing. Patients and Methods: A retrospective case series between January 1, 2010, and December 31, 2020, was constructed to develop a deep learning model for the classificati
Externí odkaz:
https://doaj.org/article/6233abc4d84a4b1fad106f25a87af254
Autor:
Vidhu Anand, Hanwen Hu, Alexander D Weston, Christopher G Scott, Hector I Michelena, Sorin V Pislaru, Rickey E Carter, Patricia A Pellikka
Publikováno v:
European Heart Journal - Digital Health. 4:188-195
Aims The current guidelines recommend aortic valve intervention in patients with severe aortic regurgitation (AR) with the onset of symptoms, left ventricular enlargement, or systolic dysfunction. Recent studies have suggested that we might be missin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6be3a7642639ea3b0ad7320c7762f337
https://doi.org/10.1093/ehjdh/ztad006
https://doi.org/10.1093/ehjdh/ztad006
Autor:
Masayasu Horibe, Naoki Takahashi, Alexander D. Weston, Kenneth Philbrick, Satoshi Yamamoto, Hiroaki Takahashi, Santhi Swaroop Vege
Publikováno v:
Clinical Nutrition. 41:1676-1679
The association between body composition parameters measured on computed tomography (CT) and severity of acute pancreatitis (AP) is conflicting because these composition parameters vary considerably by sex and age. We previously developed normative b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18f4ad2d141c4786c020a0e1a0ba1935
https://doi.org/10.1016/j.clnu.2022.06.010
https://doi.org/10.1016/j.clnu.2022.06.010
Autor:
Bradley J. Erickson, Dhruv P. Singh, Grant M. Spears, Ferga C. Gleeson, Michael J. Levy, Alexander D. Weston, Santhi Swaroop Vege, Shounak Majumder, Vinay Chandrasekhara, Bret T. Petersen, Barham K. Abu Dayyeh, Kenneth A. Philbrick, Naoki Takahashi, Laurens Janssens, Suresh T. Chari, William S. Harmsen, Randall K. Pearson
Publikováno v:
Pancreatology. 21:1524-1530
Background & aims Increased intrapancreatic fat is associated with pancreatic diseases; however, there are no established objective diagnostic criteria for fatty pancreas. On non-contrast computed tomography (CT), adipose tissue shows negative Hounsf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d545d1dc91de2f2389da427e9b2d7c4f
https://doi.org/10.1016/j.pan.2021.08.004
https://doi.org/10.1016/j.pan.2021.08.004
Autor:
Alexander D. Weston, Panagiotis Korfiatis, Thomas Sakinis, Michael R. Moynagh, Kenneth A. Philbrick, Bradley J. Erickson, Gian Marco Conte, Naoki Takahashi, Arunnit Boonrod, Petro M. Kostandy, Atefeh Zeinoddini
Publikováno v:
Medical Physics. 47:5609-5618
Purpose Organ segmentation of computed tomography (CT) imaging is essential for radiotherapy treatment planning. Treatment planning requires segmentation not only of the affected tissue, but nearby healthy organs-at-risk, which is laborious and time-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fbfc6e1b4584960addfd9b528c78e95
https://doi.org/10.1002/mp.14422
https://doi.org/10.1002/mp.14422
Autor:
Mikolaj A Wieczorek, Alexander D Weston, Matthew F Ledenko, Jonathan Nelson Thomas, Rickey E Carter, Tushar C Patel
IntroductionLiver disease such as cirrhosis is known to cause changes in the composition of volatile organic compounds (VOC) present in patient breath samples. Previous studies have demonstrated the diagnosis of liver cirrhosis from these breath samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffd6248209e8481ccccac3f8bb2a9a3a
https://doi.org/10.21203/rs.3.rs-1258834/v1
https://doi.org/10.21203/rs.3.rs-1258834/v1
Autor:
Bradley J. Erickson, Arunnit Boonrod, Timothy L. Kline, Alexander D. Weston, Naoki Takahashi, Petro M. Kostandy, Atefeh Zeinoddini, Zeynettin Akkus, Kenneth A. Philbrick, Panagiotis Korfiatis, Tomas Sakinis
Publikováno v:
Journal of Digital Imaging
Deep-learning algorithms typically fall within the domain of supervised artificial intelligence and are designed to “learn” from annotated data. Deep-learning models require large, diverse training datasets for optimal model convergence. The effo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::882c19532bf0b73af10e51fc2eb9f62f
http://europepmc.org/articles/PMC6646456
http://europepmc.org/articles/PMC6646456
Autor:
Naoki Takahashi, Alexander D. Weston, Bradley J. Erickson, Panagiotis Korfiatis, Petro M. Kostandy, Timothy L. Kline, Tomas Sakinis, Motokazu Sugimoto, Kenneth A. Philbrick
Publikováno v:
Radiology. 290:669-679
Purpose To develop and evaluate a fully automated algorithm for segmenting the abdomen from CT to quantify body composition. Materials and Methods For this retrospective study, a convolutional neural network based on the U-Net architecture was traine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c70ceb3afc6c20eb3e52f265e08505e
https://doi.org/10.1148/radiol.2018181432
https://doi.org/10.1148/radiol.2018181432
Autor:
Gian Marco Conte, David C Vogelsang, Alexander D. Weston, Francesco Sanvito, Daniel H. Lachance, Kenneth A. Philbrick, Robert B. Jenkins, W. Oliver Tobin, Jason Cai, Maurizio Barbera, Bradley J. Erickson, Jeanette E. Eckel-Passow
Publikováno v:
Radiology
BACKGROUND: Missing MRI sequences represent an obstacle in the development and use of deep learning (DL) models that require multiple inputs. PURPOSE: To determine if synthesizing brain MRI scans using generative adversarial networks (GANs) allows fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb7310901dc1abc98c98552901199361
https://europepmc.org/articles/PMC8111364/
https://europepmc.org/articles/PMC8111364/